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Identity trumps Intelligence

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  Give two people the same set of numbers, and you'd expect them to reach the same conclusion. Give two very smart people the same numbers, and you'd expect it even more. Yet that's often not what happens. And the reason has less to do with ‘how intelligent we are’ than with ‘who we believe ourselves to be’.   What Indian philosophy already knew Long before modern psychology gave it a name, Indian philosophy had mapped this territory in precise detail. Texts from the Indian philosophy describe the mind as four functions working together - The senses, coordinated by manas , constantly gather raw experience. Chitta stores it as memory. Buddhi , the intellect (and we use this interchangeably as intelligence), discriminates and decides. And then there is ahamkara , the 'I-maker': identity itself, the sense of "I am this gender, this community, this nation, this tradition." (note: the translations of these terms in Sanskrit to English are not accurate). The te...
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What Can We Learn From Human Brains While Building One For Enterprises?

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  Ask someone what their favourite restaurant is, and their brain doesn't run a database query. It doesn't scan every restaurant it's ever encountered and rank them by a stored rating column. It reaches for one memory — maybe a specific evening, a specific dish — and the answer arrives already wrapped in context: who you were with, how you felt, why it mattered. That's not a lookup. That's a web of associations, lighting up together, all at once. Most enterprise systems don't work anything like that. They work like the database query — precise, literal, and completely blind to context unless you explicitly told the system to store it. Which is exactly the gap we set out to close while building what we call an ' Enterprise Brain ' at Motiveminds, and it turns out the human brain has a lot to teach you about how to actually do that, and a fair bit to teach you about what to deliberately do differently.   Realizing there are two kinds of data Your...
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AI and Governance

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Every technological shift we've lived through eventually settled into a new normal. The looms settled. The assembly line settled. The internet settled. What made each of those bearable, in hindsight, was time — the ecosystem around people had roughly as long to adjust as the technology took to spread. AI doesn't give us that luxury. This is the part that actually worries me, more than the disruption itself: it's not that jobs and roles are transforming — they always have, every single time — it's that this 'Technological Evolution' is moving at a pace the ecosystem around people simply isn't built to match. Retraining avenues, education curricula, policy cycles, even our own personal habits of learning — none of them evolves at this pace. That mismatch, not the technology itself, is the real source of the disruption. Which is exactly why the government's role in this moment matters so much more than in previous transitions. A government that steps up...
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"AI will take away jobs" - We've Heard This Before

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In 1811, a group of English textile workers started smashing machines. They weren't vandals for the sake of it. The 'Luddites', as history remembers them, were skilled weavers watching mechanized looms do their work faster, cheaper, and without needing a decade of apprenticeship. They weren't wrong that the machines threatened their specific livelihoods. What they got wrong — understandably, watching it happen in real time — was the size of the threat. Textile employment in Britain didn't collapse. It grew for the next hundred years, just doing different work than before. We've run this exact experiment more times than we usually remember, and it's worth understanding why it plays out this way — because that "why" is exactly what tells us what to actually do about AI, rather than just waiting anxiously to see who gets replaced. A fear that keeps recurring, almost word for word Automobiles threatened the entire horse economy — blacksmiths,...
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